The Biodistribution and absorbed dose data from the administration of radiopharmaceuticals are necessary to analyze the risk-benefit of the procedure. It has particular significance in children, as their metabolism is very different from adults. 99mTc-DMSA scintigraphy is the golden standard imaging technique for the assessment of renal involvement in febrile urinary tract infection and renal sequels. However, 99mTc-DMSA biodistribution data for children are scarce and usually outdated which have been obtained by older methods. In this data article, we analysed the biodistribution of 99mTc-DMSA in 12 pediatric patients using planar/SPECT method. In addition, the radiation absorbed doses were calculated by MIRDOSE software.News analysis is a popular task in Natural Language Processing (NLP). In particular, the problem of clickbait in news analysis has gained attention in recent years [1, 2]. However, the majority of the tasks has been focused on English news, in which there is already a rich representative resource. For other languages, such as Indonesian, there is still a lack of resource for clickbait tasks. Therefore, we introduce the CLICK-ID dataset of Indonesian news headlines extracted from 12 Indonesian online news publishers. It is comprised of 15,000 annotated headlines with clickbait and non-clickbait labels. Using the CLICK-ID dataset, we then developed an Indonesian clickbait classification model achieving favourable performance. We believe that this corpus will be useful for replicable experiments in clickbait detection or other experiments in NLP areas.For a long time, traditional purification and extraction methods for the native Torpedo californica nicotinic acetylcholine receptor in lipid-like detergent complex (nAChR-DC) have compromised its purity, functionality and X-ray structural studies possibility. The dataset presented in this article provide a characterization of the Torpedo californica nAChR-DC purified using a sequential purification processes developed in our laboratory [1]. This purification takes in consideration all of the physicochemical and functional requirements stablished by several researchers for the past three decades for the nAChR. These requirements were addressed in order to preserve the stability and functionality of nAChR-DC while ensuring the highest degree of protein purity. https://www.selleckchem.com/products/polybrene-hexadimethrine-bromide-.html We focused on the effect of cholesteryl hemisuccinate (CHS) supplementation on nAChR conformational changes during the purification process. Data from the size exclusion chromatography of the nAChR-DC supplemented with CHS in concentrations ranging from ystals from purified nAChR-conjugated to α-Bungarotoxin, Alexa Fluor ™ 488 (α-BTX) in order to obtain a high-resolution atomic structure by X-ray diffraction.Genetic association studies suggest a genetic predisposition for cisplatin-induced ototoxicity. Among other candidate genes, thiopurine methyltransferase (TPMT) is considered a critical gene for susceptibility to cisplatin-induced hearing loss in a pharmacogenetic guideline. The PanCareLIFE cross-sectional cohort study evaluated the genetic associations in a large pan-European population and assessed the diagnostic accuracy of the genetic markers. 1,112 pediatric cancer survivors who had provided biomaterial for genotyping were screened for participation in the pharmacogenetic association study. 900 participants qualified for inclusion. Based on the assessment of original audiograms, patients were assigned to three phenotype categories no, minor, and clinically relevant hearing loss. Fourteen variants in eleven candidate genes (ABCC3, OTOS, TPMT, SLC22A2, NFE2L2, SLC16A5, LRP2, GSTP1, SOD2, WFS1, and ACYP2) were genotyped. The genotype and phenotype data represent a resource for conducting meta-analyses to derive a more precise pooled estimate of the effects of genes on the risk of hearing loss due to platinum treatment.This paper archives spatiotemporal volumetric moisture content (VMC) and associated precipitation datasets collected between 2012 and 2014 at different depths in two different New York City green infrastructure (GI) (e.g. bioretention) facilities, termed Site 1 and Site 2, respectively. The two sites are similar in both design and monitoring set up, and are located within two kilometers of one another, but differ in terms of hydraulic loading ratio (HLR). Both sites were designed and instrumented specifically to facilitate a comparison of the hydrologic fluxes within the two GI facilities. Site 1 receives only direct rainfall and is hydrologically isolated from the surrounding impervious surfaces (HLR = 1); Site 2 receives both direct precipitation and street runoff through a curb cut inlet (HLR = 3.8). Monitoring was conducted both inside (L plots) and outside (G plots) weighing lysimeters that were installed at both sites and planted with similar vegetation. Each L and G plot was equipped with five soil moisture sensors installed at 5, 10, 20, 30, and 50?cm depths in a circular pattern. This dataset is associated with the original research presented in "Observed Variability in Soil Moisture in Engineered Urban Green Infrastructure Systems and Linkages to Ecosystem Services [1]."Rheological and thermal properties of the poly(?-caprolactone) (PCL) polymer are presented in Section 1.1. Section 1.2 summarizes results of melt-spun PCL filaments. Specifically, we show the necking point stabilization during high-speed online drawing in Section 1.2.1, filament morphology in Section 1.2.2, wide-angle X-ray diffraction (WAXD) fitting results in Section 1.2.3, WAXD patterns of aged fibers in Section 1.2.4, crystallinity analysis in Section 1.2.5 and small-angle X-ray scattering (SAXS) analysis results in Section 1.2.6. Details about the materials, experimental and analytical methods are given in Section 2. Of particular interest may be the simulation and fitting procedures of 2D WAXD patterns, which are summarized in Section 2.7.2. For more information see the publication by Selli et al. 'Mesophase in melt-spun poly(?-caprolactone) filaments structure-mechanical property relationship' [1].Over the past few years, different Computer-Aided Diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images since there is a strong lack of public clinical images archive available to evaluate the aforementioned CAD systems. To fill this gap, we release a skin lesion benchmark composed of clinical images collected from smartphone devices and a set of patient clinical data containing up to 21 features. The dataset consists of 1373 patients, 1641 skin lesions, and 2298 images for six different diagnostics three skin diseases and three skin cancers. In total, 58.4% of the skin lesions are biopsy-proven, including 100% of the skin cancers. By releasing this benchmark, we aim to support future research and the development of new tools to assist clinicians to detect skin cancer.